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A comprehensive survey of sine cosine algorithm: variants and applications
Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in 2016, SCA has attracted great attention from researchers and has been widely used to solve different optimization problems i...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8171367/ https://www.ncbi.nlm.nih.gov/pubmed/34092884 http://dx.doi.org/10.1007/s10462-021-10026-y |
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author | Gabis, Asma Benmessaoud Meraihi, Yassine Mirjalili, Seyedali Ramdane-Cherif, Amar |
author_facet | Gabis, Asma Benmessaoud Meraihi, Yassine Mirjalili, Seyedali Ramdane-Cherif, Amar |
author_sort | Gabis, Asma Benmessaoud |
collection | PubMed |
description | Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in 2016, SCA has attracted great attention from researchers and has been widely used to solve different optimization problems in several fields. This attention is due to its reasonable execution time, good convergence acceleration rate, and high efficiency compared to several well-regarded optimization algorithms available in the literature. This paper presents a brief overview of the basic SCA and its variants divided into modified, multi-objective, and hybridized versions. Furthermore, the applications of SCA in several domains such as classification, image processing, robot path planning, scheduling, radial distribution networks, and other engineering problems are described. Finally, the paper recommended some potential future research directions for SCA. |
format | Online Article Text |
id | pubmed-8171367 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-81713672021-06-02 A comprehensive survey of sine cosine algorithm: variants and applications Gabis, Asma Benmessaoud Meraihi, Yassine Mirjalili, Seyedali Ramdane-Cherif, Amar Artif Intell Rev Article Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in 2016, SCA has attracted great attention from researchers and has been widely used to solve different optimization problems in several fields. This attention is due to its reasonable execution time, good convergence acceleration rate, and high efficiency compared to several well-regarded optimization algorithms available in the literature. This paper presents a brief overview of the basic SCA and its variants divided into modified, multi-objective, and hybridized versions. Furthermore, the applications of SCA in several domains such as classification, image processing, robot path planning, scheduling, radial distribution networks, and other engineering problems are described. Finally, the paper recommended some potential future research directions for SCA. Springer Netherlands 2021-06-02 2021 /pmc/articles/PMC8171367/ /pubmed/34092884 http://dx.doi.org/10.1007/s10462-021-10026-y Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Gabis, Asma Benmessaoud Meraihi, Yassine Mirjalili, Seyedali Ramdane-Cherif, Amar A comprehensive survey of sine cosine algorithm: variants and applications |
title | A comprehensive survey of sine cosine algorithm: variants and applications |
title_full | A comprehensive survey of sine cosine algorithm: variants and applications |
title_fullStr | A comprehensive survey of sine cosine algorithm: variants and applications |
title_full_unstemmed | A comprehensive survey of sine cosine algorithm: variants and applications |
title_short | A comprehensive survey of sine cosine algorithm: variants and applications |
title_sort | comprehensive survey of sine cosine algorithm: variants and applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8171367/ https://www.ncbi.nlm.nih.gov/pubmed/34092884 http://dx.doi.org/10.1007/s10462-021-10026-y |
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